Job Description

About the Role:
As a Senior Data Scientist, you will engage in comprehensive data analysis, contributing significantly to key projects and driving actionable insights. You will work with a variety of data sets and employ advanced statistical techniques to support predictive modeling and business optimization efforts. This role is ideal for individuals with a solid data science foundation who are eager to tackle more complex challenges and make a tangible impact on the business.

Responsibilities:
• Design and execute data experiments and A/B tests.
• Develop and refine machine learning models with general supervision with 2-3 years of experience working on Agentic AI.
• Conduct root cause analysis to uncover underlying data patterns.
• Create complex visualizations to illustrate key data insights.
• Collaborate closely with business units to identify data needs.
• Optimize data processing pipelines for efficiency.
• Participate in feature engineering for improved model performance.
• Provide significant support in model validation and tuning.
• Ensure data integrity across various data sources.
• Mentor junior data scientists and share knowledge within the team.

Skills:
• Advanced Data Analysis: Proficient in conducting complex data analyses.
• Machine Learning: Practical knowledge of machine learning algorithms and applications.
• Python and R: Proficiency in Python and familiarity with R for statistical computing.
• Data Visualization Tools: Skilled in using tools like Tableau, Power BI, or Matplotlib.
• SQL and NoSQL: Advanced querying skills for both SQL and NoSQL databases.
• Predictive Analytics: Applying predictive analytics for business insights.
• Communication: Effective communication of complex data findings to stakeholders.
• Collaboration: Strong team collaboration skills and ability to mentor junior staff.

Level criteria T3 (for internal use only):
• Requires in-depth conceptual and practical knowledge in primary technical job family and knowledge of related technical job families; has worked with a range of technologies
• Has knowledge of best practices and aware of the competition and market differentiators
• Solves complex technical problems; exercises judgment based on the analysis of multiple sources of information
• Works independently, receives minimal guidance; may lead projects or may have accountability for on-going activities
• Impacts a range project activities within own team and other related teams; acts as a resource for colleagues
• Explains difficult or sensitive information; works to build consensus
• Level at which career may stabilize for many years

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.